Skip to Main content Skip to Navigation
Journal articles

On the granularity of summative kernels

Kevin Loquin 1 Olivier Strauss 2
2 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this paper, we propose granularity as a new index to characterize the non-specificity of a summative kernel. This index is intended to reflect the behavior of a kernel in the usual signal processing applications. We show, in different experiments, that two kernels having the same granularity have very similar behavior. This granularity-based adaptation is compared to other adaptation methods. These experiments highlight the ability of the granularity index to measure the spreading and collecting properties of a summative kernel.
Complete list of metadata

Cited literature [36 references]  Display  Hide  Download
Contributor : Olivier Strauss <>
Submitted on : Thursday, July 17, 2008 - 11:25:32 AM
Last modification on : Tuesday, October 16, 2018 - 7:52:01 AM
Long-term archiving on: : Monday, May 31, 2010 - 6:38:47 PM


Files produced by the author(s)


  • HAL Id : lirmm-00299387, version 1



Kevin Loquin, Olivier Strauss. On the granularity of summative kernels. Fuzzy Sets and Systems, Elsevier, 2008, 159 (15), pp.1952-1972. ⟨lirmm-00299387⟩



Record views


Files downloads